Statistical disclosure control in tabular data

Document typePart of book or chapter of book
Defense date2010-09
PublisherSpringer Verlag
Rights accessOpen Access
Except where otherwise noted, content on this work
is licensed under a Creative Commons license
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Attribution-NonCommercial-NoDerivs 3.0 Spain
Abstract
Data disseminated by National Statistical Agencies (NSAs) can be classified
as either microdata or tabular data. Tabular data is obtained from microdata by
crossing one or more categorical variables. Although cell tables provide aggregated
information, they also need to be protected. This chapter is a short introduction to
tabular data protection. It contains three main sections. The first one shows the different
types of tables that can be obtained, and how they are modeled. The second
describes the practical rules for detection of sensitive cells that are used by NSAs.
Finally, an overview of protection methods is provided, with a particular focus on
two of them: “cell suppression problem” and “controlled tabular adjustment”.
CitationCastro, J. Statistical disclosure control in tabular data. A: "Privacy and anonymity in information management systems: new techniques for new practical problems". Springer Verlag, 2010, p. 113-131.
ISBN978-1849962377
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dr2009-11.pdf | Chapter 6 of Privacy and Anonymity in Information Management Systems: New Techniques for New Practical Problem, Springer | 134,8Kb | View/Open |